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Responsibilities
Data Security Analysis:
Assess current data access policies, security protocols, and data classification procedures. Identify data security risks and recommend mitigation strategies. Define data access control requirements for the UAM framework.
Databricks Component Design:
Create detailed design of data access control mechanisms within Databricks using appropriate features. Create integration guidelines to configure and integrate Databricks with other existing security tools relevant to data access control. Create pseudo code for auto-classification, auto-tagging, and data usage logging within Databricks.
Collaboration & Documentation:
Collaborate with the Platform Architect to ensure alignment between data security controls and the overall UAM architecture. Document the design and implementation of data access control within Databricks.
Qualifications
Min. 12+ years of experience working in Data Engineering Field
Strong understanding of data security principles and best practices.
Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms.
Experience with data classification and masking techniques.
Strong coding skills in Python or Scala.
Excellent analytical, problem-solving, and communication skills.
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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